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Record W2368183571

Landscape pattern evolution in Shiyang river basin based on GIS

2013· article· en· W2368183571 on OpenAlexaff
Wang Xu-feng

Bibliographic record

VenueGanhanqu ziyuan yu huanjing · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsScience North
Fundersnot available
KeywordsEcotoneDesertificationGrasslandAridWoodlandDrainage basinStructural basinPhysical geographyDesert (philosophy)Hydrology (agriculture)Environmental scienceGeographyGeologyEcologyGeomorphologyHabitat
DOInot available

Abstract

fetched live from OpenAlex

Choosing four periods of Landsat/TM images of the arid region Shiyang River basin from 1986 to 2006,and using landscape ecological theory,we studied the landscape pattern changes of the area.The results show that grassland and sandy desert were the superiority in the whole basin,but farmland occupied overwhelming superiority in Wuwei oasis.In Minqin oasis,farmland and sandy desert dominated together.The main changes of the landscape were that farmland and sandy desert were increasing,but woodland and grassland were decreasing in Minqin oasis.Wholly,the landscape structure was stable,but in the basin of small region,the landscape evolved more prominently.The landscape change mainly occurred in the middle and lower reaches,such as Wuwei and Minqin oasis,while the changes of landscape structure mainly centralized in desert-oasis ecotone.Particularly from 2000 to 2006,the oasis development was obvious in Wuwei oasis,so farmland was increasing apparently,while sandy desert was decreasing massively.However,in Minqin oasis,farmland was increasing as well,but the desertification was faster than agriculturalization and the oasis development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.186
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

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